/*
 *  Copyright (c) 2023-2025, Agents-Flex (fuhai999@gmail.com).
 *  <p>
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *  <p>
 *  http://www.apache.org/licenses/LICENSE-2.0
 *  <p>
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 */
package com.agentsflex.core.llm.embedding;

import com.agentsflex.core.document.Document;
import com.agentsflex.core.llm.exception.LlmException;
import com.agentsflex.core.store.VectorData;

public interface EmbeddingModel {

    default VectorData embed(String text) {
        return embed(Document.of(text), EmbeddingOptions.DEFAULT);
    }

    default VectorData embed(Document document) {
        return embed(document, EmbeddingOptions.DEFAULT);
    }

    VectorData embed(Document document, EmbeddingOptions options);

    default int dimensions() {
        VectorData vectorData = embed(Document.of("agents-flex"));
        if (vectorData == null) {
            throw new LlmException("Embedding model does not contain vector data, maybe config is not correct.");
        }
        double[] vector = vectorData.getVector();
        if (vector == null || vector.length == 0) {
            throw new LlmException("Embedding model does not contain vector data, maybe config is not correct.");
        }
        return vector.length;
    }
}
